Accepted for/Published in: JMIR Research Protocols
Date Submitted: Apr 28, 2023
Date Accepted: Oct 24, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
A systematic review protocol on economic evaluations and equity in artificial intelligence in imaging exams for medical diagnosis of skin, neurological, and pulmonary diseases
ABSTRACT
Background:
Traditional healthcare systems face challenges related to patient heterogeneity, the large geographical areas they may cover, and financial constraints. In recent year, technological advancements have introduced approaches to support these systems, including the use of Artificial Intelligence (AI).
Objective:
This protocol outlines a systematic literature review that aims to investigate the cost-effectiveness of using AI in imaging exams for clinical diagnosis, particularly for skin, neurological, and pulmonary diseases. The review will also assess the possible equity outcomes of this intervention in healthcare systems.
Methods:
The study design is a systematic review of economic evaluations, following PRISMA, CHEERS and PRISMA-E checklists. Scientific articles reporting on economic evaluations or equity in the use of AI tools to support the diagnosis of medical imaging exams will be included. Scientific articles that do not pertain to the use of AI for diagnostic support based on medical imaging and other related tasks that promote patient care will be excluded. There will be no restrictions based on language or year of publication. We will conduct a search in the PubMed, Embase, Scopus, and Web of Science databases, and also perform supplementary searches to locate references cited in the retrieved articles. All steps in selecting the final studies to be included in the review will be performed independently by two researchers, and any discrepancies will be resolved through a third researcher. The quality of methodology evaluation will be assessed using the CHEC checklist and EPHPP Quality Assessment Tool. Only studies with moderate or high quality will be considered for inclusion in the systematic review.
Results:
The literature search and the screening of titles and abstracts began in March 2023, resulting in 9,526 publications. The selected articles will be read in full text, and their data will be summarized. The systematic review is expected to be completed by September 2023.
Conclusions:
This systematic review will provide a rationale for the use of AI applied tools to support the diagnosis in imaging exams. Additionally, the review will contribute to the field by examining the cost-effective use of AI and how its use promotes equity. Clinical Trial: The protocol for this systematic review has been registered with PROSPERO under the registration number CRD42023407755.
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Copyright
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